Electrochemical Protein Immobilization in Ordered Molecular Orientation for micro-TAS

用于 micro-TAS 的有序分子取向电化学蛋白质固定化

基本信息

批准号：
13650850
负责人：
HARUYAMA Tetsuya
金额：
$ 2.43万
依托单位：
Kyushu Institute of Technology
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2002
项目状态：
已结题

项目摘要

Cells represent the minimum functional and integrating communicable unit of living system. Cultured cells both transduce and transmit a variety of chemical and physical signals, I.e., production of specific substances and proteins, throughout their life cycle within specific tissues and organs. Such cellular responses might be usefully employed as parameters to obtain chemical information for both pharmaceutical and chemical safety, and drug efficacy profiles in vitro as a screening tool. However, such cellular signals are very weak and not easily detected with conventional analytical methods. By using micro-and nanobiotechnology methods integrated on-chip, a higher sensitivity and signal amplification has been developed for cellular biosensing. Micro- and nanotechology is rapidly evolving to open new combinations of methods with improved technical performance, helping to resolve challenging bioanalytical problems including sensitivity, signal resolution and specificity by interfacing these technologies in small volumes in order to confirm specific cellular signals. Integration of cell signals in both rapid time and small space, and importantly, between different cell populations (communication and systems modeling) will permit many more valuable measurements of the dynamic aspects of cell responses to various chosen stimuli and their feedback. This represents the future for cell-based biosensing.

细胞代表最低功能和整合可传教的生活系统。培养的细胞在特定的组织和器官内的生命周期中均传递并传输各种化学和物理信号，即特定物质和蛋白质的产生。这种细胞反应可以用作参数，以获取用于药物和化学安全性的化学信息，以及在体外作为筛查工具的药物功效概况。但是，这种细胞信号非常弱，并且不容易通过常规的分析方法检测到。通过使用片上整合的微生物技术方法，已经开发出更高的灵敏度和信号扩增来用于细胞生物传感。微技术和纳米技术正在迅速发展，以开放具有改进技术性能的方法的新组合，有助于通过将这些技术插入小体积，以确认特定的细胞信号，从而帮助解决挑战性的生物分析问题，包括灵敏度，信号分辨率和特异性。在快速时间和较小的空间中的细胞信号集成，以及重要的是，不同的细胞群体（通信和系统建模）之间的整合将允许对各种选择刺激及其反馈的细胞反应的动态响应的动态方面进行更多的价值测量。这代表了基于细胞的生物传感的未来。